Customer Churn Data Profiling Report

Brought to you by YData

Dataset statistics

Number of variables	13
Number of observations	12623
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.3 MiB
Average record size in memory	274.9 B

Variable types

Numeric	9
Categorical	3
Text	1

Alerts

`avg_transaction_amount` is highly overall correlated with `total_spent`	High correlation
`total_spent` is highly overall correlated with `avg_transaction_amount` and 1 other fields	High correlation
`transaction_count` is highly overall correlated with `total_spent`	High correlation
`customer_service_interaction_count` has 1093 (8.7%) zeros	Zeros

Reproduction

Analysis started	2025-08-01 19:45:32.393785
Analysis finished	2025-08-01 19:45:39.781814
Duration	7.39 seconds
Software version	ydata-profiling v0.0.dev0
Download configuration	config.json

age
Real number (ℝ)

Distinct	53
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.869682

Minimum	18
Maximum	70
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	98.7 KiB

Quantile statistics

Minimum	18
5-th percentile	20
Q1	31
median	44
Q3	57
95-th percentile	68
Maximum	70
Range	52
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	15.312549
Coefficient of variation (CV)	0.34904626
Kurtosis	-1.1957031
Mean	43.869682
Median Absolute Deviation (MAD)	13
Skewness	0.010559891
Sum	553767
Variance	234.47414
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
24	263	2.1%
54	262	2.1%
32	259	2.1%
21	259	2.1%
41	256	2.0%
20	255	2.0%
40	255	2.0%
35	254	2.0%
38	254	2.0%
39	252	2.0%
Other values (43)	10054	79.6%

Value	Count	Frequency (%)
18	233	1.8%
19	243	1.9%
20	255	2.0%
21	259	2.1%
22	237	1.9%
23	241	1.9%
24	263	2.1%
25	227	1.8%
26	225	1.8%
27	244	1.9%

Value	Count	Frequency (%)
70	249	2.0%
69	239	1.9%
68	243	1.9%
67	226	1.8%
66	229	1.8%
65	216	1.7%
64	244	1.9%
63	247	2.0%
62	231	1.8%
61	233	1.8%

gender
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	768.6 KiB

female	8458
male	4165

Length

Max length	6
Median length	6
Mean length	5.3400935
Min length	4

Characters and Unicode

Total characters	67408
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	female
2nd row	male
3rd row	female
4th row	male
5th row	male

Common Values

Value	Count	Frequency (%)
female	8458	67.0%
male	4165	33.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
female	8458	67.0%
male	4165	33.0%

Most occurring characters

Value	Count	Frequency (%)
e	21081	31.3%
m	12623	18.7%
a	12623	18.7%
l	12623	18.7%
f	8458	12.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	67408	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	21081	31.3%
m	12623	18.7%
a	12623	18.7%
l	12623	18.7%
f	8458	12.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	67408	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	21081	31.3%
m	12623	18.7%
a	12623	18.7%
l	12623	18.7%
f	8458	12.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	67408	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	21081	31.3%
m	12623	18.7%
a	12623	18.7%
l	12623	18.7%
f	8458	12.5%

location
Text

Distinct	9219
Distinct (%)	73.0%
Missing	0
Missing (%)	0.0%
Memory size	851.5 KiB

Length

Max length	24
Median length	21
Mean length	12.064485
Min length	5

Characters and Unicode

Total characters	152290
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7288 ?
Unique (%)	57.7%

Sample

1st row	charlesville
2nd row	new scott
3rd row	josephfort
4th row	linland
5th row	north lindamouth

Value	Count	Frequency (%)
north	931	4.9%
west	926	4.9%
lake	913	4.8%
east	911	4.8%
new	886	4.7%
south	881	4.6%
port	880	4.6%
michael	84	0.4%
christopher	66	0.3%
david	59	0.3%
Other values (6463)	12414	65.5%

Most occurring characters

Value	Count	Frequency (%)
e	15948	10.5%
r	12822	8.4%
t	12629	8.3%
a	12553	8.2%
o	10503	6.9%
n	10121	6.6%
s	9069	6.0%
h	8988	5.9%
i	7636	5.0%
l	6976	4.6%
Other values (17)	45045	29.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	152290	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	15948	10.5%
r	12822	8.4%
t	12629	8.3%
a	12553	8.2%
o	10503	6.9%
n	10121	6.6%
s	9069	6.0%
h	8988	5.9%
i	7636	5.0%
l	6976	4.6%
Other values (17)	45045	29.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	152290	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	15948	10.5%
r	12822	8.4%
t	12629	8.3%
a	12553	8.2%
o	10503	6.9%
n	10121	6.6%
s	9069	6.0%
h	8988	5.9%
i	7636	5.0%
l	6976	4.6%
Other values (17)	45045	29.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	152290	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	15948	10.5%
r	12822	8.4%
t	12629	8.3%
a	12553	8.2%
o	10503	6.9%
n	10121	6.6%
s	9069	6.0%
h	8988	5.9%
i	7636	5.0%
l	6976	4.6%
Other values (17)	45045	29.6%

account_type
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	782.9 KiB

savings	6418
loan	3134
checking	3071

Length

Max length	8
Median length	7
Mean length	6.4984552
Min length	4

Characters and Unicode

Total characters	82030
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	savings
2nd row	savings
3rd row	savings
4th row	savings
5th row	checking

Common Values

Value	Count	Frequency (%)
savings	6418	50.8%
loan	3134	24.8%
checking	3071	24.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
savings	6418	50.8%
loan	3134	24.8%
checking	3071	24.3%

Most occurring characters

Value	Count	Frequency (%)
s	12836	15.6%
n	12623	15.4%
a	9552	11.6%
i	9489	11.6%
g	9489	11.6%
v	6418	7.8%
c	6142	7.5%
l	3134	3.8%
o	3134	3.8%
h	3071	3.7%
Other values (2)	6142	7.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	82030	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
s	12836	15.6%
n	12623	15.4%
a	9552	11.6%
i	9489	11.6%
g	9489	11.6%
v	6418	7.8%
c	6142	7.5%
l	3134	3.8%
o	3134	3.8%
h	3071	3.7%
Other values (2)	6142	7.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	82030	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
s	12836	15.6%
n	12623	15.4%
a	9552	11.6%
i	9489	11.6%
g	9489	11.6%
v	6418	7.8%
c	6142	7.5%
l	3134	3.8%
o	3134	3.8%
h	3071	3.7%
Other values (2)	6142	7.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	82030	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
s	12836	15.6%
n	12623	15.4%
a	9552	11.6%
i	9489	11.6%
g	9489	11.6%
v	6418	7.8%
c	6142	7.5%
l	3134	3.8%
o	3134	3.8%
h	3071	3.7%
Other values (2)	6142	7.5%

login_frequency
Real number (ℝ)

Distinct	30
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.329636

Minimum	1
Maximum	30
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	98.7 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	15
Q3	23
95-th percentile	29
Maximum	30
Range	29
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.6517757
Coefficient of variation (CV)	0.56438232
Kurtosis	-1.1948195
Mean	15.329636
Median Absolute Deviation (MAD)	7
Skewness	0.020286619
Sum	193506
Variance	74.853223
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=30)

Value	Count	Frequency (%)
2	455	3.6%
3	449	3.6%
14	446	3.5%
21	445	3.5%
5	440	3.5%
23	437	3.5%
20	435	3.4%
19	435	3.4%
11	433	3.4%
7	431	3.4%
Other values (20)	8217	65.1%

Value	Count	Frequency (%)
1	425	3.4%
2	455	3.6%
3	449	3.6%
4	420	3.3%
5	440	3.5%
6	405	3.2%
7	431	3.4%
8	420	3.3%
9	414	3.3%
10	416	3.3%

Value	Count	Frequency (%)
30	429	3.4%
29	383	3.0%
28	427	3.4%
27	407	3.2%
26	361	2.9%
25	421	3.3%
24	403	3.2%
23	437	3.5%
22	388	3.1%
21	445	3.5%

transaction_count
Real number (ℝ)

High correlation

Distinct	491
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	253.86018

Minimum	10
Maximum	500
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	98.7 KiB

Quantile statistics

Minimum	10
5-th percentile	32
Q1	129
median	253
Q3	379
95-th percentile	475
Maximum	500
Range	490
Interquartile range (IQR)	250

Descriptive statistics

Standard deviation	143.18809
Coefficient of variation (CV)	0.56404316
Kurtosis	-1.2206212
Mean	253.86018
Median Absolute Deviation (MAD)	125
Skewness	0.0072918614
Sum	3204477
Variance	20502.83
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
453	45	0.4%
83	44	0.3%
236	41	0.3%
27	39	0.3%
19	39	0.3%
379	39	0.3%
420	38	0.3%
362	38	0.3%
448	38	0.3%
276	38	0.3%
Other values (481)	12224	96.8%

Value	Count	Frequency (%)
10	25	0.2%
11	35	0.3%
12	25	0.2%
13	30	0.2%
14	30	0.2%
15	31	0.2%
16	20	0.2%
17	22	0.2%
18	19	0.2%
19	39	0.3%

Value	Count	Frequency (%)
500	24	0.2%
499	18	0.1%
498	28	0.2%
497	27	0.2%
496	29	0.2%
495	27	0.2%
494	18	0.1%
493	21	0.2%
492	24	0.2%
491	21	0.2%

avg_transaction_amount
Real number (ℝ)

High correlation

Distinct	11872
Distinct (%)	94.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	505.8621

Minimum	10
Maximum	999.89
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	98.7 KiB

Quantile statistics

Minimum	10
5-th percentile	58.992
Q1	258.23
median	508.01
Q3	755.415
95-th percentile	949.304
Maximum	999.89
Range	989.89
Interquartile range (IQR)	497.185

Descriptive statistics

Standard deviation	285.85689
Coefficient of variation (CV)	0.56508857
Kurtosis	-1.2101704
Mean	505.8621
Median Absolute Deviation (MAD)	248.73
Skewness	-0.0067265666
Sum	6385497.3
Variance	81714.161
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
772.37	4	< 0.1%
464.02	4	< 0.1%
641.81	3	< 0.1%
377.06	3	< 0.1%
300.42	3	< 0.1%
236.38	3	< 0.1%
144.08	3	< 0.1%
471.23	3	< 0.1%
128.18	3	< 0.1%
144.09	3	< 0.1%
Other values (11862)	12591	99.7%

Value	Count	Frequency (%)
10	1	< 0.1%
10.02	1	< 0.1%
10.04	1	< 0.1%
10.21	1	< 0.1%
10.53	1	< 0.1%
10.57	1	< 0.1%
10.6	1	< 0.1%
10.83	1	< 0.1%
10.87	1	< 0.1%
10.95	1	< 0.1%

Value	Count	Frequency (%)
999.89	1	< 0.1%
999.83	1	< 0.1%
999.72	1	< 0.1%
999.66	1	< 0.1%
999.61	1	< 0.1%
999.6	1	< 0.1%
999.46	1	< 0.1%
999.42	1	< 0.1%
999.38	1	< 0.1%
999.35	1	< 0.1%

total_spent
Real number (ℝ)

High correlation

Distinct	12613
Distinct (%)	99.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	127913.96

Minimum	222
Maximum	486452.96
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	98.7 KiB

Quantile statistics

Minimum	222
5-th percentile	7152.262
Q1	37207.71
median	96697.44
Q3	192873.3
95-th percentile	352041.22
Maximum	486452.96
Range	486230.96
Interquartile range (IQR)	155665.59

Descriptive statistics

Standard deviation	109421.48
Coefficient of variation (CV)	0.85543036
Kurtosis	0.11216688
Mean	127913.96
Median Absolute Deviation (MAD)	68926.41
Skewness	0.95732173
Sum	1.6146579 × 10⁹
Variance	1.1973061 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
113002.24	2	< 0.1%
53915.68	2	< 0.1%
157353.84	2	< 0.1%
31989.24	2	< 0.1%
161848.75	2	< 0.1%
8223.75	2	< 0.1%
139320	2	< 0.1%
84738.18	2	< 0.1%
42349.44	2	< 0.1%
22878	2	< 0.1%
Other values (12603)	12603	99.8%

Value	Count	Frequency (%)
222	1	< 0.1%
256.1	1	< 0.1%
328.8	1	< 0.1%
341.52	1	< 0.1%
350.22	1	< 0.1%
353.43	1	< 0.1%
425.04	1	< 0.1%
447.86	1	< 0.1%
471.52	1	< 0.1%
472.34	1	< 0.1%

Value	Count	Frequency (%)
486452.96	1	< 0.1%
486266.2	1	< 0.1%
484515.36	1	< 0.1%
484160.37	1	< 0.1%
480372.48	1	< 0.1%
477548.28	1	< 0.1%
477303.05	1	< 0.1%
476954.64	1	< 0.1%
474702.52	1	< 0.1%
473938.68	1	< 0.1%

customer_service_interaction_count
Real number (ℝ)

Zeros

Distinct	11
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.0529193

Minimum	0
Maximum	10
Zeros	1093
Zeros (%)	8.7%
Negative	0
Negative (%)	0.0%
Memory size	98.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	5
Q3	8
95-th percentile	10
Maximum	10
Range	10
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.1508909
Coefficient of variation (CV)	0.62357832
Kurtosis	-1.2107179
Mean	5.0529193
Median Absolute Deviation (MAD)	3
Skewness	-0.018537315
Sum	63783
Variance	9.9281136
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
4	1204	9.5%
9	1195	9.5%
6	1193	9.5%
7	1178	9.3%
10	1162	9.2%
1	1139	9.0%
3	1117	8.8%
2	1116	8.8%
5	1114	8.8%
8	1112	8.8%

Value	Count	Frequency (%)
0	1093	8.7%
1	1139	9.0%
2	1116	8.8%
3	1117	8.8%
4	1204	9.5%
5	1114	8.8%
6	1193	9.5%
7	1178	9.3%
8	1112	8.8%
9	1195	9.5%

Value	Count	Frequency (%)
10	1162	9.2%
9	1195	9.5%
8	1112	8.8%
7	1178	9.3%
6	1193	9.5%
5	1114	8.8%
4	1204	9.5%
3	1117	8.8%
2	1116	8.8%
1	1139	9.0%

churn
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	715.1 KiB

0	6330
1	6293

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	12623
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	6330	50.1%
1	6293	49.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	6330	50.1%
1	6293	49.9%

Most occurring characters

Value	Count	Frequency (%)
0	6330	50.1%
1	6293	49.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12623	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	6330	50.1%
1	6293	49.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12623	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	6330	50.1%
1	6293	49.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12623	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	6330	50.1%
1	6293	49.9%

registration_date_year
Real number (ℝ)

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2022.3101

Minimum	2020
Maximum	2025
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	98.7 KiB

Quantile statistics

Minimum	2020
5-th percentile	2020
Q1	2021
median	2022
Q3	2024
95-th percentile	2025
Maximum	2025
Range	5
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.6131685
Coefficient of variation (CV)	0.00079768604
Kurtosis	-1.1728377
Mean	2022.3101
Median Absolute Deviation (MAD)	1
Skewness	0.082142262
Sum	25527620
Variance	2.6023126
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
2021	2323	18.4%
2022	2305	18.3%
2024	2271	18.0%
2023	2231	17.7%
2020	2203	17.5%
2025	1290	10.2%

Value	Count	Frequency (%)
2020	2203	17.5%
2021	2323	18.4%
2022	2305	18.3%
2023	2231	17.7%
2024	2271	18.0%
2025	1290	10.2%

Value	Count	Frequency (%)
2025	1290	10.2%
2024	2271	18.0%
2023	2231	17.7%
2022	2305	18.3%
2021	2323	18.4%
2020	2203	17.5%

registration_date_month
Real number (ℝ)

Distinct	12
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.2659431

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	98.7 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	6
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.4311277
Coefficient of variation (CV)	0.5475836
Kurtosis	-1.1722386
Mean	6.2659431
Median Absolute Deviation (MAD)	3
Skewness	0.10741564
Sum	79095
Variance	11.772637
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
5	1194	9.5%
1	1150	9.1%
3	1137	9.0%
6	1133	9.0%
4	1097	8.7%
2	1077	8.5%
7	1075	8.5%
12	1004	8.0%
9	952	7.5%
8	942	7.5%
Other values (2)	1862	14.8%

Value	Count	Frequency (%)
1	1150	9.1%
2	1077	8.5%
3	1137	9.0%
4	1097	8.7%
5	1194	9.5%
6	1133	9.0%
7	1075	8.5%
8	942	7.5%
9	952	7.5%
10	935	7.4%

Value	Count	Frequency (%)
12	1004	8.0%
11	927	7.3%
10	935	7.4%
9	952	7.5%
8	942	7.5%
7	1075	8.5%
6	1133	9.0%
5	1194	9.5%
4	1097	8.7%
3	1137	9.0%

registration_date_day
Real number (ℝ)

Distinct	31
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15.582746

Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	98.7 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	8
median	16
Q3	23
95-th percentile	29
Maximum	31
Range	30
Interquartile range (IQR)	15

Descriptive statistics

Standard deviation	8.7769294
Coefficient of variation (CV)	0.56324665
Kurtosis	-1.1899269
Mean	15.582746
Median Absolute Deviation (MAD)	8
Skewness	0.0095211826
Sum	196701
Variance	77.034489
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
1	454	3.6%
2	447	3.5%
22	444	3.5%
5	441	3.5%
11	437	3.5%
16	436	3.5%
13	433	3.4%
25	433	3.4%
18	430	3.4%
14	429	3.4%
Other values (21)	8239	65.3%

Value	Count	Frequency (%)
1	454	3.6%
2	447	3.5%
3	404	3.2%
4	399	3.2%
5	441	3.5%
6	387	3.1%
7	408	3.2%
8	422	3.3%
9	401	3.2%
10	420	3.3%

Value	Count	Frequency (%)
31	214	1.7%
30	330	2.6%
29	389	3.1%
28	401	3.2%
27	425	3.4%
26	426	3.4%
25	433	3.4%
24	408	3.2%
23	382	3.0%
22	444	3.5%

	account_type	age	avg_transaction_amount	churn	customer_service_interaction_count	gender	login_frequency	registration_date_day	registration_date_month	registration_date_year	total_spent	transaction_count
account_type	1.000	0.000	0.000	0.019	0.000	0.000	0.000	0.009	0.009	0.000	0.000	0.012
age	0.000	1.000	0.022	0.000	-0.012	0.022	-0.015	0.013	0.004	0.003	0.021	0.010
avg_transaction_amount	0.000	0.022	1.000	0.000	-0.000	0.019	0.003	-0.003	-0.002	-0.010	0.668	-0.012
churn	0.019	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
customer_service_interaction_count	0.000	-0.012	-0.000	0.000	1.000	0.018	0.007	0.025	-0.009	0.010	0.009	0.009
gender	0.000	0.022	0.019	0.000	0.018	1.000	0.000	0.000	0.000	0.000	0.013	0.003
login_frequency	0.000	-0.015	0.003	0.000	0.007	0.000	1.000	-0.012	-0.001	-0.009	0.004	0.005
registration_date_day	0.009	0.013	-0.003	0.000	0.025	0.000	-0.012	1.000	0.007	0.001	-0.005	0.003
registration_date_month	0.009	0.004	-0.002	0.000	-0.009	0.000	-0.001	0.007	1.000	-0.116	-0.009	-0.012
registration_date_year	0.000	0.003	-0.010	0.000	0.010	0.000	-0.009	0.001	-0.116	1.000	-0.007	-0.006
total_spent	0.000	0.021	0.668	0.000	0.009	0.013	0.004	-0.005	-0.009	-0.007	1.000	0.663
transaction_count	0.012	0.010	-0.012	0.000	0.009	0.003	0.005	0.003	-0.012	-0.006	0.663	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	age	gender	location	account_type	login_frequency	transaction_count	avg_transaction_amount	total_spent	customer_service_interaction_count	churn	registration_date_year	registration_date_month	registration_date_day
0	53	female	charlesville	savings	15	182	406.18	73924.76	0	0	2021	8	13
1	40	male	new scott	savings	26	69	734.02	50647.38	4	0	2021	7	22
2	68	female	josephfort	savings	16	273	567.67	154973.91	1	0	2023	11	27
3	31	male	linland	savings	8	34	212.31	7218.54	1	0	2022	6	23
4	20	male	north lindamouth	checking	5	468	754.40	353059.20	8	0	2023	12	3
5	36	female	darrellshire	checking	20	35	283.09	9908.15	5	1	2020	2	16
6	29	male	thompsonchester	savings	24	474	850.18	402985.32	8	0	2025	4	14
7	29	female	lake melody	checking	16	83	774.45	64279.35	0	0	2024	7	13
8	18	female	michaelshire	savings	20	366	340.94	124784.04	3	1	2021	10	19
9	31	female	jonathanfort	loan	14	111	487.73	54138.03	3	0	2021	11	10

	age	gender	location	account_type	login_frequency	transaction_count	avg_transaction_amount	total_spent	customer_service_interaction_count	churn	registration_date_year	registration_date_month	registration_date_day
12613	52	male	higginston	savings	23	112	311.58	34896.96	1	1	2023	5	31
12614	34	female	michaelside	loan	23	357	468.13	167122.41	8	1	2022	5	4
12615	53	male	west emma	savings	22	412	509.50	209914.00	1	0	2025	2	26
12616	54	male	medinaview	savings	26	180	803.32	144597.60	2	0	2023	3	17
12617	62	male	east thomas	checking	4	232	111.03	25758.96	2	0	2022	11	5
12618	52	female	elizabethbury	savings	9	215	290.61	62481.15	4	1	2023	10	17
12619	57	female	pierceville	loan	13	429	536.11	229991.19	6	0	2021	7	29
12620	42	female	brucehaven	checking	10	257	158.58	40755.06	8	1	2024	9	27
12621	21	female	robinside	savings	2	123	285.79	35152.17	5	0	2022	10	11
12622	29	female	east david	loan	14	82	763.59	62614.38	9	1	2023	3	27

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Interactions

Correlations

Missing values

Sample